Inference for Quantiles of a Finite Population: Asymptotic versus Resampling Results

DOI10.1111/sjos.12122zbMath1368.62019OpenAlexW1917071277MaRDI QIDQ5251494

Daniela Marella, Pier Luigi Conti

Publication date: 20 May 2015

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/sjos.12122

zbMATH Keywords

resamplingquantilesfinite populationsHájek estimator

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Nonparametric tolerance and confidence regions (62G15)

Related Items (6)

Order statistics based on a combined simple random sample from a finite population and applications to inference ⋮ On the estimation of the characteristic function in finite populations with applications ⋮ On the estimation of the Lorenz curve under complex sampling designs ⋮ A unified principled framework for resampling based on pseudo-populations: asymptotic theory ⋮ Bayesian network structural learning from complex survey data: a resampling based approach ⋮ Rate of convergence of the asymptotic normality of sample quantiles from a finite population

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